國立高雄大學圖資館 |

Language: English

Back

Modeling Plant Species Distributions...

Ball, Tara M.

Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.
Author:	Ball, Tara M.
Published:	Ann Arbor : ProQuest Dissertations & Theses, 2018
Description:	57 p.
Notes:	Source: Masters Abstracts International, Volume: 58-02.
Notes:	Adviser: Eva K. Strand.
Contained By:	Masters Abstracts International58-02(E).
Subject:	Environmental science.
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10685047
ISBN:	9780438392915

Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.
Ball, Tara M.

Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 57 p.

Source: Masters Abstracts International, Volume: 58-02.

Thesis (M.S.)--University of Idaho, 2018.

Mechanisms driving ungulate population declines are complex and poorly understood. Limitations in forage availability or quality may be contributing, but current habitat assessments lack fine-scale vegetation information needed to evaluate nutrition. To fill this gap, I developed predictive distribution models for ungulate forage species across Idaho using existing vegetation surveys, maps, and remotely-sensed data. Models predict plant species presence, and provide key insight to species-environment relationships that can aide habitat management strategies to improve nutritional quality. Additionally, I examined elk habitat selection on a summer range in north-central Idaho. Selection was influenced by the presence of herbaceous plant species and wildfire disturbance. Management strategies that re-open matured forest canopies that currently limit herbaceous understory vegetation will be useful for enhancing the nutritional quality of elk summer habitat. Considerations for non-native plant infestations in areas of highly recurrent and severe wildfires will also be important.

ISBN: 9780438392915Subjects--Topical Terms:

708819
Environmental science.

Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.
LDR:02006nmm a2200301 4500 001 547532
005 20190513114555.5
008 190715s2018 ||||||||||||||||| ||eng d
020 $a 9780438392915
035 $a (MiAaPQ)AAI10685047
035 $a (MiAaPQ)idaho:11300
035 $a AAI10685047
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ball, Tara M. $3 826822
245 1 0 $a Modeling Plant Species Distributions across Idaho to Inform Ungulate Nutrition.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 58-02.
500 $a Adviser: Eva K. Strand.
502 $a Thesis (M.S.)--University of Idaho, 2018.
520 $a Mechanisms driving ungulate population declines are complex and poorly understood. Limitations in forage availability or quality may be contributing, but current habitat assessments lack fine-scale vegetation information needed to evaluate nutrition. To fill this gap, I developed predictive distribution models for ungulate forage species across Idaho using existing vegetation surveys, maps, and remotely-sensed data. Models predict plant species presence, and provide key insight to species-environment relationships that can aide habitat management strategies to improve nutritional quality. Additionally, I examined elk habitat selection on a summer range in north-central Idaho. Selection was influenced by the presence of herbaceous plant species and wildfire disturbance. Management strategies that re-open matured forest canopies that currently limit herbaceous understory vegetation will be useful for enhancing the nutritional quality of elk summer habitat. Considerations for non-native plant infestations in areas of highly recurrent and severe wildfires will also be important.
590 $a School code: 0089.
650 4 $a Environmental science. $3 708819
650 4 $a Animal sciences. $3 826799
690 $a 0768
690 $a 0475
710 2 $a University of Idaho. $b Natural Resources. $3 826823
773 0 $t Masters Abstracts International $g 58-02(E).
790 $a 0089
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10685047